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Scheduling of unit-length jobs with bipartite incompatibility graphs on four uniform machines

机译:在四台统一的机器上使用二元不兼容图调度单位长度作业

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In the paper we consider the problem of scheduling n identical jobs on 4 uniform machines with speeds s1 ≥ s2 ≥ s3 ≥ s4, respectively. Our aim is to find a schedule with a minimum possible length. We assume that jobs are subject to some kind of mutual exclusion constraints modeled by a bipartite incompatibility graph of degree Δ, where two incompatible jobs cannot be processed on the same machine. We show that the general problem is NP-hard even if s1 = s2 = s3. If, however, Δ ≤ 4 and s1 ≥ 12s2, s2 = s3 = s4, then the problem can be solved to optimality in time O(n1.5). The same algorithm returns a solution of value at most 2 times optimal provided that s1 ≥ 2s2. Finally, we study the case s1 ≥ s2 ≥ s3 = s4 and give a 32/15-approximation algorithm running also in O(n1.5) time.
机译:在本文中,我们考虑了在4台均速为s1≥s2≥s3≥s4的均匀机器上调度n个相同作业的问题。我们的目标是找到尽可能短的时间表。我们假设作业要受到某种程度的双向互斥约束,该互斥约束由度数为的二部不兼容图建模,其中两个不兼容的作业无法在同一台计算机上处​​理。我们证明,即使s1 = s2 = s3,一般问题也是NP难题。但是,如果Δ≤4且s1≥12s2,则s2 = s3 = s4,则可以在时间O(n1.5)内将问题解决为最佳。如果s1≥2s2,则相同的算法最多返回2倍最佳值的解。最后,我们研究s1≥s2≥s3 = s4的情况,并给出了也在O(n1.5)时间运行的32/15近似算法。

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